Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications

Yebra, Marta; Scortechini, Gianluca; Badi, Abdulbaset; Beget, María Eugenia; Boer, Matthias M.; Bradstock, Ross A.; Chuvieco Salinero, Emilio; Danson, F. Mark; Dennison, Philip; Resco de Dios, Víctor; Di Bella, Carlos M.; Forsyth, Greg; Frost, Philip; García, Mariano; Hamdi, Abdelaziz; He, Binbin; Jolly, Matt; Kraaij, Tineke; Martín, M. Pilar; Mouillot, Florent; Newnham, Glenn; Nolan, Rachael H.; Pellizzaro, G.; Qi, Yi; Quan, Xingwen; Riaño, David; Roberts, Dar; Sow, Momadou; Ustin, Susan

doi:https://doi.org/10.1038/s41597-019-0164-9

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Issue date

2019-08-21

Author

Yebra, Marta

Scortechini, Gianluca

Badi, Abdulbaset

Beget, María Eugenia

Boer, Matthias M.

Bradstock, Ross A.

Chuvieco Salinero, Emilio

Danson, F. Mark

Dennison, Philip

Resco de Dios, Víctor

Di Bella, Carlos M.

Forsyth, Greg

Frost, Philip

García, Mariano

Hamdi, Abdelaziz

He, Binbin

Jolly, Matt

Kraaij, Tineke

Martín, M. Pilar

Mouillot, Florent

Newnham, Glenn

Nolan, Rachael H.

Pellizzaro, G.

Qi, Yi

Quan, Xingwen

Riaño, David

Roberts, Dar

Sow, Momadou

Ustin, Susan

Suggested citation

Yebra, Marta; Scortechini, Gianluca; Badi, Abdulbaset; Beget, María Eugenia; Boer, Matthias M.; Bradstock, Ross A.; ... Ustin, Susan. (2019) . Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications. Scientific Data, 2019, vol. 6, article number 155. https://doi.org/10.1038/s41597-019-0164-9.

Abstract

Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 sampling sites in 11 countries: Argentina, Australia, China, France, Italy, Senegal, Spain, South Africa, Tunisia, United Kingdom and the United States of America. The database contains 161,717 individual records based on in situ destructive samples used to measure LFMC, representing the amount of water in plant leaves per unit of dry matter. The primary goal of the database is to calibrate and validate remote sensing algorithms used to predict LFMC. However, this database is also relevant for the calibration and validation of dynamic global vegetation models, eco-physiological models of plant water stress as well as understanding the physiological drivers of spatiotemporal variation in LFMC at local, regional and global scales. Globe-LFMC should be useful for studying LFMC trends in response to environmental change and LFMC influence on wildfire occurrence, wildfire behavior, and overall vegetation health.

URI

http://hdl.handle.net/10459.1/67584

DOI

https://doi.org/10.1038/s41597-019-0164-9

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Scientific Data, 2019, vol. 6, article number 155

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Except where otherwise noted, this item's license is described as cc-by (c) Yebra et al., 2019